Senior Fullstack Data Scientist

Lingaro; Polska; A distancia; PLN 466.000 - 700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Office as an option

Workation

Udemy access

Descripción de la vacante

Lingaro is seeking a Senior Data Scientist focused on GenAI to lead architecture, development, and delivery of advanced LLM-based systems. You will design, implement, and optimize GenAI solutions, mentor teams, and guide technology choices for enterprise-scale AI projects.

You will build end-to-end GenAI applications including data ingestion, retrieval layers, orchestration, API/backend, and lightweight UI, while refining RAG pipelines and evaluation frameworks for robustness.

Formación

• 6+ years in Data Science/AI engineering.
• 4+ years production-ready Python AI code.
• 2+ years production-ready LLM code, preferably RAG.
• Strong communication and ability to mentor teams.

Responsabilidades

• Lead GenAI use-case discovery and solution design.
• Build end-to-end GenAI applications (data ingestion, retrieval, orchestration, API/backend, UI).
• Design and implement RAG pipelines with vector databases and evaluation frameworks.
• Model selection, prompting strategies, and fine-tuning for multiple modalities.
• Collaborate with data engineers, product owners, and full‑stack developers on scalable architectures.
• Mentor other data scientists/engineers in GenAI patterns and best practices.

Conocimientos

GenAI expertise

LLM deployment

Python production code

LangChain

Guardrails design

Cloud platforms

English communication

Team mentorship

Herramientas

LangChain

LlamaIndex

LangGraph

Descripción del empleo

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Job Description:

We are looking for a skilled and experienced Fullstack Data Scientist with solid expertise in Generative AI (GenAI) to lead projects focused on building and implementing advanced systems based on Large Language Models (LLMs), chatbots, AI agents, and Retrieval-Augmented Generation (RAG) mechanisms. As a Senior Data Scientist, you will be responsible for designing, implementing, and optimizing GenAI solutions, as well as mentoring teams. Your knowledge and experience will be crucial in making architectural decisions, selecting technologies, and implementing best practices in AI-driven development.

Responsibilities:

• Lead discovery and solution design for GenAI use cases, translating business problems into concrete architectures (LLM decision, RAGs, fine‑tuning, agents, guardrails).
• Build end‑to‑end GenAI applications: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.
• Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
• Perform model selection, prompting strategies, and fine‑tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including evaluation and A/B testing.
• Collaborate with data engineers, product owners, and full‑stack developers on scalable architectures, SLAs, and integration with existing enterprise systems.
• Gather technical requirements and estimate planned work.
• Mentor other data scientists/engineers in GenAI patterns, code quality, and best practices; contribute to internal libraries, templates, and reusable components.
• Stay current with GenAI landscape (new open and hosted models, agentic frameworks, evaluation techniques) and perform targeted PoCs to validate them.

Must-Have Skills:

• 6+ years of experience in Data Science/AI engineering.
• At least 4+ years of experience in production-ready Python AI-related code development.
• At least 2+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval-Augmented Generation (RAG) concept.
• Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications.
• Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.
• Deep understanding of LLM evaluators, validators, and guardrails.
• Hands‑on experience with one or more GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks.
• Hands‑on experience designing or operating MCP servers/clients for LLM agents.
• Strong Python skills, including production‑grade code, packaging, and testing for data/ML services.
• Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures.
• Proven ability to collaborate effectively across technical and non-technical teams.
• Familiarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services.
• Familiarity with CI/CD, testing, and containerized deployments.
• Excellent communication skills in English, with the ability to convey complex technical concepts to various audiences.

Nice-to-Have Skills & Knowledge:

• Experience in designing and programming ML algorithms and data processing pipelines using Python.
• Good understanding of CI/CD and DevOps concepts, with experience working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps).
• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.
• Experience with agentic AI development frameworks (e.g., BMAD, multi‑agent orchestration, spec‑driven AI workflows).

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work® certified employer.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.